Title :
Map-based BitSet association rule mining of remote sensing images
Author :
Hongyu, Huang ; Duanqiong, Huang ; Chongcheng, Chen ; Minghui, Fan
Author_Institution :
Spatial Inf. Res. Center, Fuzhou Univ., China
Abstract :
This paper presents the MBSA algorithm, which uses TreeMap class and a compressed BitSet class in Java. Boolean values are stored in the Bitset. MBSA algorithm scans the transaction database once and further database scans can be replaced by Bitset logical AND operation, which efficiently improves the computation. The MBSA algorithm was applied to crop remote sensing images for association rules mining. Interesting association rules discovered from remote sensing images composed of red, green and blue bands and crop yield is useful for improving crop production.
Keywords :
Java; crops; data mining; geophysical signal processing; image processing; vegetation mapping; Bitset logical AND operation; Boolean values; Java; TreeMap class; association rule discovery; crop production; crop remote sensing image; crop yield; map-based BitSet association rule mining; transaction database; Association rules; Crops; Data mining; Image coding; Image databases; Itemsets; Iterative algorithms; Laboratories; Remote sensing; Transaction databases;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN :
0-7803-9050-4
DOI :
10.1109/IGARSS.2005.1525215